“ Most defects end up costing more than it would have cost to prevent them. Defects are expensive when they occur, both the direct costs of fixing the defects and the indirect costs because of damaged relationships, lost business and lost development time”. Kent Beck, Extreme Programming Explained. 👩🚒How to Stay Ahead of the Curve: Find Issues Earlier Instead of Putting Out Fires Later, by Markus Westergren. https://lnkd.in/dH-kPg2h #softwaredevelopment
Digma
Software Development
Sunnyvale, California 1,698 followers
Continuous feedback platform for developers. Proactive. Connected to the code.
About us
Digma is a new Continuous Feedback platform that provides developers with the data they need to own their code all the way to production. By analyzing existing observability sources (logs traces and metrics), Digma gleans critical insights on performance, errors, and usage which can be leveraged to improve code, identify hotspots and bottlenecks, and assess code changes impact. For faster feedback cycles, Digma provides code insights right in the IDE and integrates with GitOps tools.
- Website
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https://digma.ai
External link for Digma
- Industry
- Software Development
- Company size
- 2-10 employees
- Headquarters
- Sunnyvale, California
- Type
- Privately Held
- Founded
- 2022
Locations
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Primary
Sunnyvale, California, US
Employees at Digma
Updates
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May your New Year be filled with innovation and less time spent on bug fixing! https://digma.ai/
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Learn how your team can move faster, fix issues before they arise, and focus on what truly matters with preemptive observability 🔭 https://lnkd.in/dMzJEff4 #preemptiveobservability #observability #java #springboot
How observability can increase team velocity instead of slowing you down
https://digma.ai
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Why R&D Multi-Team Projects Fail? "Multi-team work introduces friction: someone needs to carry information back and forth between them and make sure they’re all working towards the same goal."- Daniel Beck. Read more: https://lnkd.in/dMb2-WNb #teams
Why Multi-Team Projects Fail: Shared Code and Sync Challenges
https://digma.ai
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How to quickly identify and manage performance issues with Digma! 🎯 Discover filtering tips, critical issue insights, and more in this step-by-step walkthrough! https://lnkd.in/d9FQUyVM #performance #devtools #continuousfeedback #java #springboot
How to identify performance issues using Digma.
https://www.youtube.com/
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Digma reposted this
According to the Systems Sciences Institute at IBM, fixing a bug during implementation costs 6x more than addressing it during the design phase. Discover how pre-production observability reduces costs, enhances software quality, and improves delivery efficiency: https://lnkd.in/dxevmxR5 #apms #continuousfeedback #observability #opentelemetry
Pre-Production Observability vs. Traditional APMs
https://digma.ai
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According to the Systems Sciences Institute at IBM, fixing a bug during implementation costs 6x more than addressing it during the design phase. Discover how pre-production observability reduces costs, enhances software quality, and improves delivery efficiency: https://lnkd.in/dxevmxR5 #apms #continuousfeedback #observability #opentelemetry
Pre-Production Observability vs. Traditional APMs
https://digma.ai
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Digma reposted this
Effective Coding with Java Observability, by Roni Dover. https://lnkd.in/dSRkQYK8 #java #kotlin #springboot #devtools
Effective Coding with Java Observability
https://digma.ai
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Effective Coding with Java Observability, by Roni Dover. https://lnkd.in/dSRkQYK8 #java #kotlin #springboot #devtools
Effective Coding with Java Observability
https://digma.ai
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Structured Logging in Spring Boot 3.4 Coming up in Spring Boot 3.4 is the out-of-the-box support for structured logging with support for Elastic Common Schema, Logstash, and our own formats. While we could already do this by adding dependent libraries such as SLF4J and Log4J beforehand, it’s nice to see this now being available out of the box. https://lnkd.in/d-KXzeVm #springboot #java #observability
5 Tips for Structured Logging in Spring Boot 3.4
https://digma.ai